Ian Beaver

Orcid: 0000-0003-0865-1214

According to our database1, Ian Beaver authored at least 25 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
FCBench: Cross-Domain Benchmarking of Lossless Compression for Floating-point Data.
Proc. VLDB Endow., February, 2024

2022
A Flexible Clustering Pipeline for Mining Text Intentions.
CoRR, 2022

A Semi-Supervised Deep Clustering Pipeline for Mining Intentions From Texts.
CoRR, 2022

Is AI at Human Parity Yet? A Case Study on Speech Recognition.
AI Mag., 2022

The Success of Conversational AI and the AI Evaluation Challenge It Reveals.
AI Mag., 2022

Experimental Comparison and Survey of Twelve Time Series Anomaly Detection Algorithms (Extended Abstract).
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Experimental Comparison and Survey of Twelve Time Series Anomaly Detection Algorithms.
J. Artif. Intell. Res., 2021

TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation.
CoRR, 2021

On the Care and Feeding of Virtual Assistants: Automating Conversation Review with AI.
AI Mag., 2021

Improving Univariate Time Series Anomaly Detection Through Automatic Algorithm Selection and Human-in-the-Loop False-Positive Removement.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

Detecting Anomalies in Sequences of Short Text Using Iterative Language Models.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

2020
A Case Study of User Communication Styles with Customer Service Agents versus Intelligent Virtual Agents.
Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2020

Fine-Tuning Language Models For Semi-Supervised Text Mining.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Automated Conversation Review to Surface Virtual Assistant Misunderstandings: Reducing Cost and Increasing Privacy.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Towards Awareness of Human Relational Strategies in Virtual Agents.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Experimental Comparison of Online Anomaly Detection Algorithms.
Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

2018
The effect of response complexity and media on user restatement with multimodal virtual assistants.
Int. J. Hum. Comput. Stud., 2018

Paying Attention to Attention: Highlighting Influential Samples in Sequential Analysis.
CoRR, 2018

2017
An Annotated Corpus of Relational Strategies in Customer Service.
CoRR, 2017

Online Proactive Escalation in Multi-Modal Automated Assistants.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

2016
Analysis of user behavior with multimodal virtual customer service agents.
Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016

Detection of User Escalation in Human-Computer Interactions.
Proceedings of the Interspeech 2016, 2016

Prioritization of Risky Chats for Intent Classifier Improvement.
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

2014
Scaling User Preference Learning in Near Real-Time to Large Datasets.
Proceedings of the 25th Modern Artificial Intelligence and Cognitive Science Conference 2014, 2014

2013
Applying MapReduce to Learning User Preferences in Near Real-Time.
Proceedings of the Case-Based Reasoning Research and Development, 2013


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